code: def extra_repr(self):
      repr_str = "\n".join(
          [
              "{}: dim_out={}".format(name, dim)
              for name, dim in self.dim_dict.items()
          ]
          + ["Total: dim_out={}".format(self.dim_out)]
      )
      return repr_str
  
imports: import logging
  import networkx
  import numpy
  import torch
  import torch.nn
  from deepsnap.graph import Graph
  import graphgym.register
  from graphgym.config import cfg
  from graphgym.contrib.transform.identity import compute_identity
label_desc: Use image node_id 2 for calling the Preprocess obj's underlying member method code with example usage: obj.extra_repr() and returns: repr_str